It’s no
secret that software
testing is a key component of the software product development lifecycle.
Not only does it help teams detect bugs, but it also provides information on
the performance of the product being tested. Moreover, with that information,
the development team better understand the behavior of the product and improve
its quality. Over the last years, testing is becoming increasingly more
cost-efficient. Compared to expenses from 2015, in 2019 companies were able to
decrease average yearly spending by more than 10%. By optimizing QA processes,
introducing automation, reducing the number of manual tasks, organizations are
capable to bring testing costs down. However, the result of testing strongly
depends on the methods and tools used and on the skills of the QA/QC software
engineers. That’s why it’s important to look for new ways to improve software
testing.
If your
company hasn’t decreased the cost of testing over the last years, it’s possible
that you are not the most available method. If you want to increase the
efficiency of your team without raising the costs, get started with these
tried-and-proven methods. Only by
following a list of the best practices for testing software can you minimize
risks of failure and save time and money in the long run. Sounds impressive,
right? Let’s dive into the details to find out more.
Working as
an Agile software development team
Agile is a
software development and testing methodology that focuses on flexible
cooperation. Teams can move between QA stages, release multiple iterations, and
collaborate across project phases. It’s the opposite of a Waterfall – a strict
methodology when staged are finalized once and for good. In testing, Agile
practically means looking for defects thought the entire project development
and testing. Testers cooperate with developers and enter the project early on.
To implement Agile and iterative development frequently teams can use
additional approaches.
Extreme
programming has the main goal of delivering high-quality
software. The goal is to develop the best product, the speed and planning
come secondary.
EXTREME
PROGRAMMING METHODS
Focus on
business requirements: more than any other technology, extreme programming,
phases on financial, business, and user goals;
Extensive
analysis: team describes stories, analyzes competitors, takes a look at other
platform’s experience and features.
Design: all
tasks are dissected to in-depth details for automation framework design;
Execution:
it happens way later in the project than in other methodologies, but the
probability of an error is much lower.
Wrapping:
the product is released in small interactions and constantly deployed;
Conclusion:
analyzers and engineers audit the SLA and ensure that all necessities were
conveyed.
Extreme
programming takes more time and resources, but on the other hand, it’s a highly
reliable method. Due to all the research
and planning. QA teams know what risks to expect and prevent them in time.
Scrum is a
framework in which the development and testing team broke into small groups.
The scope of work is divided into spring - a small, manageable pieces that
focus on specific tasks. Scrum consists of the following stages:
scrum
METHOD
Story: the testing
process managed in the story - small tasks done in a short time frame;
Organization
between testers and developers: the two groups meet regularly and discuss a
plan together;
Automation:
Scrum and Agile energy use of the platform and framework, both open-source and
paid;
Management:
all the scope of the work is broken down of inspiration, s and for each, the
point of the story is assigned. In this way, the team prioritized task
difficulty sand size.
Preparing
documentation software testing
Planning
test process allows the team to understand their goals, communicate with all
team members, developers, stakeholders. They can keep track of small problems
before they turn into problems, defect capture in time, and assess their
efficiency. Let's look at the most common artifacts of the test documentation
and checked out their main qualities.
QUALITY
MANAGEMENT PLAN
The main
focal point is on an item archive. The quality plan describes the quality of
the product and set up quantitative targets.
Structure
Numerical
expectations;
Description
of duties of members of the QA team: everyone is responsible for delivering a
particular purpose;
Describes
an instrument for automatic and manual testing would help achieve quality
expectations.
Who benefits
from the document: software
testers? QA teams, developers, stakeholders, the owner of the product.
CASE ordeal
A detailed
document that describes each feature independently. test case describes what
activities should be run on a particular function, condition, purpose.
Structure:
A unique ID
which test cases will be defined throughout the project
Test case
descriptions, steps, hope;
Metrics,
the final outcome, the current status;
Date of
manufacture
Documentation
and data storage update.
Its use:
developers, testers, QA.
SOFTWARE QUALITY
CONTROL AND STRATEGY
The focus
of this note is also on an item - not in management or inner procedures. This
system characterizes the QA approach, the strategy for each bit of
functionality. It describes how to achieve the goal of QS will bring the group
closer to business objectives.
Typically,
a team of Software Requirements Specification reference and project plan before
building a test strategy. It is essential that the company is already aware of
the non-functional requirements and business objectives.
Structure
objectives
and activities of QA
budget
calculations and limitations
Deadlines
and time limits
analysis
and quality industry standards for a particular field
Its use:
testers, QA, stakeholders.
TEST PLAN
METHOD AND OBJECTIVES
This
document describes the just beyond the functionality of the product. It
outlines an update, version, hardware, operating system, features. Every
feature and version are described in terms of the quality control activities of
certain software. Teams always come back to this document, verify shipment and
make changes, as a function expands.
Structure
Approach
the test, the item, the item;
Risks, pass
and fail the requirements, and assumptions about the function;
Schedules,
deadlines, and budgets;
priority
function - what features should be tested first.
Who is
using the document: developers, testers, QA
Applying
automated software testing process
At the
point when you make arrangements for your product QA process, you must take
into account the automation right off the bat. It is important to find out that
the experiment will be computerized, whose use must be examined and the
characteristics of individuals who are able.
Automated testing
is a long-term investment, and the main aspects that contribute to lowering the
cost of QA. Both SMEs and large enterprises to switch from manual methods
inefficiencies using an intelligent script, statistics, and metrics. If you
will begin to implement automated QA now, in a few months you can already
expect the following results.
increase in
speed: automated tests that can be reused, which means, when you're writing a
script once, you can use it multiple times. No need to re-enter the same data
or set the conditions for each feature.
Long-term
cost efficiency: automated tool is a long-term investment. Of course, getting
and setting will require investment, s but there is a one-time fee. Once your
team is used to implement and maintain automated testing framework, you will
save resources at an increasing pace.
Eliminate
the manual work of frustration: the automated tools do not make human errors.
They find defects 24/7, do not miss the problems due to fatigue and not burned
- unlike human testers. your team, on the other hand, can be switched to the
fulfillment of the job instead.
Candor:
programming automatically generates test reports, provide a visual dashboard,
and set up the following devices. For each case, you will have bug reports, quality
control, and details of the progress of the group.
Scalability:
infrastructure and software testing process grow, so does the number of
defects. Automation saves have more onboard team of testers. Accuracy,
efficiency, and performance of automated tools is higher than the manual team.
Clearly,
embracing automation testing is not possible everywhere. Some features require
working through complex user scenarios. Some aspects, such as the interface,
highly subjective and requires human insight. However, companies that do not
embrace automation clearly set themselves to regression and long-term cost
increases.
Apply some
testing methods in the project
Another
test failure which slows down a lot of the team is the lack of a bigger
picture. Testers ignore the planning of all types and levels of QA. As a
result, they need to change the strategy later on in emergency mode. To avoid
this error, consider the following software testing methods immediately.
Static test
checks that all the necessary functions are present. responsibility it is to
ensure that the base code and documentation of the right look. The program
itself does not run - so the picture is not complete.
Dynamic
testing done later to ensure that the software generates the proper input and
output. the team needs to run the code base and verify their performance. It is
more complex testing methods that require more preparation.
Black box:
testers only see software performance (input and output) without looking at the
underlying architecture. The team evaluated the software means users will be -
with the result-oriented mentality.
white box:
testers evaluate the underlying architecture; they have a deep knowledge of the
code base and works closely with the developer. Black-box testing requires more
effort but in return, give deeper insight.
Visual
examination: examination of testing GUI interface products, ensuring clear to
clients, activities which are easy to remember and repetition, and charming
outward. This testing is difficult to automate because it requires emotional
outlook analysis.
If you test
all components of the product, you will be able to see small defects before
they turn into a fairly large legacy code.
Structuring
testing project
We have
already discussed that it is important to evaluate products with different
methods to gain a deeper insight. Another aspect that is similar to take into
account is the level of QA. Testers can see each feature separately, evaluate
all of the functions, or even analyze the entire infrastructure.e It's best to
combine these two specific sand complex approach - here's how to do it.
Unit
testing: the function is broken down into smaller units (screens, functions, or
minor surgery). Developers examine each part separately, paying attention to
the smallest problems. This is the smallest level of QA.
testing of
components: some of the functions and operations to create a module - a larger
structural parts of the software. Components isolated from one another and are
evaluated individually. If all the units to work both separately and together,
the components must work smoothly too.
Integration testing:
if the component is a combination of several units, integration is a collection
of modules. Regardless of whether the function module is admirable alone, it is
anything but since the implementation of coordination would be perfect. It is
important to examine associations within the module and check the results.
Testing the
system: developers check the inputs and outputs of the system without
evaluating individual components as you can guess, it is a version of the black
box testing for QA system provides a birds eye view on infrastructure.
An
efficient test team know that the testing of products from the ground up is a
way to find small defects, and gradually increase the field of vision. When the
team began to evaluate the entire infrastructure, they already know that the
underlying layer of software has been cleared.
User
acceptance test run
After the
team completed system testing, they perform acceptance tests - product
evaluation performed by the end user. Skipping this stage results in missing
interface error, releasing the redundant function, and misunderstanding of the
needs of the user. To keep in touch with the needs of the user, the software QA
team needs to operate as follows.
ACCEPTANCE TESTING
METHOD
Alpha
testing is done by the user but supervised by the developer; Tim control the
process;
Beta Testing:
Testing independent users, also known as field tests. Testers can provide
context and explanation in the process.
Contract
Acceptance Testing: developers and testers reviewing contracts and check if the
product is ready to meet the requirements.
Regulation
acceptance testing: QA, analysis, and engineers ensure that the solution runs
in accordance with international requirements, mainly related to privacy
regulations (HIPAA, GDPR, and so on)
This is the
stage where the team finalizes the entire testing and QA process. Maintain
documentation and dashboard during this stage keep the process transparent and
intuitive.
Defining
the code quality metrics in the project
During the
entire testing process, the team must have benchmarks to measure its success.
Testing metric describes the product quality, productivity, efficiency of
delivery, etc. Since there are dozens of metrics, let's focus on the key for
this moment.
Reliability:
how much time the software can run without crashing, how many operations and
requests can be processed simultaneously. Posts: bus in the production, qualify
for disability, statistics on the load, and regression testing.
efficiency
and performance: the speed with which the system executes a certain action.
Measured by the performance of QA, stress testing (software taken to the
operating capacity max), soak testing.
Security:
the more vulnerabilities shows the code base, less secure it. Therefore the
primary metric is the number of security bugs and the time needed to repair
them. You can also calculate how many people have installed the security patch.
Maintainability
shows how difficult it is to maintain the code base. The number of lines is the
traditional metrics that evaluate the ease of maintenance.
Delivery
rate: the number of releases, updated functionality, and bug still serves as an
indicator for the efficiency of the team.
Metrics
give you a long-term perspective the productivity of your team. You understand
the direction in which your business will be. Infrastructure grows, you need to
rely on real data to keep in touch with all aspects of software testing and
development.
final
thoughts
Now the
business owner has some software testing tools, metrics, approaches and methodologies
that they have. Regardless of the industry, the company should aim to provide a
full scope of functions - from small units for a large system. automated
scripts and flexible management helps to achieve these objectives.
The most
important aspects of software testing should be taken into account from the
beginning. You will be able to plan in detail the process and eliminate the
critical problems in time. Most importantly, you will build better software in
less time and at a reduced budget - which is the ultimate goal.
